activity
20242026
collaborators

13 papers

cs.CL2026

Does Machine "know" interpersonal pragmatics? Evidence from MARBERT's learning of emoji pragmatics in Arabic digital discourse

Mohammed Q. Shormani

This study examines Transformer-based models' ability to learn emoji pragmatics in Arabic digital discourse (ADD), providing evidence from MARBERT's behavior with interpersonal pra…

cs.CL2026

The syntax of wh-agreement in Yemeni Ibbi Arabic

Ashraf Naji, Mohammed Q. Shormani

This article tackles an important phenomenon in the syntax of Yemeni Ibbi Arabic (YIA), viz., wh-agreement, a phenomenon common to several languages including Greek, Indonesian, Lu…

cs.CY2026

AI tools in Arab University English classrooms: Looking back and forward

Mohammed Q. Shormani, Muneef Yehia Alshawsh

This paper aims to synthesize empirical research on AI tools used to support English as a second/foreign language (EL2) learners in Arab University classrooms (AUCs) between Jan 1s…

cs.CL2026

Revisiting the syntax of imperatives in Yemeni Arabic: An Agree across phases approach

Mohammed Q. Shormani

This article revisits the syntax of imperatives in Yemeni Arabic proposing an Agree acros phases (AAP) approach. I argue that the AAP approach successfully accounts for both simple…

cs.CL2026

Machine learning and emoji prediction: How much accuracy can MARBERT achieve?

Mohammed Q. Shormani, Ibrahim Abdulmalik Hassan Muneef Y. Alshawsh

This study investigates Machine Learning (ML) in the prediction of emojis in Arabic tweets employing the (state-of-the-art) MARBERT model. A corpus of 11379 CA tweets representing…

cs.CL2026

The impact of postediting on AI generative translation in Yemeni context: Translating literary prose by ChatGPT

Nasim Al-wagieh, Mohammed Q. Shormani

This study examines the role of artificial intelligence in translation, focusing on ChatGPT, specifically ChatGPT-4, and the extent to which human postediting is required in litera…